write up some stuff I need to know about MDV surface moisture and its behaviour in this RMD as input to the paper
explore soil moisture dataset
data gathering for pre-study: find a cloud free day and get as many useful spatial predictor datasets as possible
describe and understand relations between surface moisture and predictors & temperature
build model for case study
run workflow for the whole temporal and spatial setting
For Method 1 and 2: How accuarate can surface moisture be modeled for the open soil areas within the Antarctic Dry Valleys?
actually interesting question: Which factors does the spatio-temporal surface moisture configuration in the MDV depend upon?
Take a look at Overleaf note collection
should I only use values above 0 degrees? Find out when water freezes in the MDV and how the relation to salinity would be
How does RH relate to soil moisture?
can we detect Soil Moisture directly with RS techniques? or is indirect modelling needed?
AWS and iButton spatial and temporal distribution
Data can be found here.
ID, Year, Hour, Date Air Temp (°C, 1.6m) Solar Radiation (W/m²), 3m Wind Speed (m/s), 3m Wind Direction (azimuth), 3m
Soil Temp (°C) Surface under white rock Soil Temp (°C) Surface under black rock
Soil RH (%) 5cm Soil RH (%) 15cm
MRC Soil Temp °C 0 in MRC Soil Temp °C 3 in 7,6cm
Soil 2cm: ER unitless Real dielectric constant EI unitless Imaginary dielectric constant Temp °C Temperature ER_COR unitless Temperature corrected ER EI_COR unitless Temperature corrected EI WATER wfv Soil moisture SALINITY g NaCl/L Soil salinity SOIL_COND S/m Soil conductivity SOIL_COND_COR S/m Temp corrected soil conductivity WATER_CON_COR S/m Temp corrected conductivity of the water in the soil
Could be interesting to get precipitation from there